*Descriptive Statistics Mentioned In-Text
	tab socialmediasample // number of survey vendor versus social media recruit participants
	tab healthvegan // number of ethical versus health vegans

*Alpha Reliability Scores Mentioned In-Text
	alpha eggs milk cheese otherdairy if healthvegan==1 // ethical vegan
	alpha eggs milk cheese otherdairy if healthvegan==2 // health vegan
	alpha prominence1 prominence2 prominence3 prominence4 if healthvegan==1 // ethical vegan
	alpha prominence1 prominence2 prominence3 prominence4 if healthvegan==2 // health vegan
	alpha sociallabelprominence1 sociallabelprominence2 sociallabelprominence3 ///
		if healthvegan==1 // ethical vegan
	alpha sociallabelprominence1 sociallabelprominence2 sociallabelprominence3 ///
		if healthvegan==2 // health vegan

*Table 1: Factor Loadings from Factor Analysis of Dietary Deviance Items
	factor redmeat whitemeat fish shellfish eggs milk cheese otherdairy 
	rotate

*Table 2: Factor Loadings from Factor Analysis of Prominence and Social Label Prominence Items
	factor prominence1 prominence2 prominence3 prominence4 sociallabelprominence1 ///
		sociallabelprominence2 sociallabelprominence3
	rotate

*Table 3: Descriptive Statistics and Differences by Motivation
	sum age if healthvegan==1 // ethical vegan
	sum age if healthvegan==2 // health vegan
	ttest age, by(healthvegan)
	sum income if healthvegan==1 // ethical vegan
	sum income if healthvegan==2 // health vegan
	ttest income, by(healthvegan)
	sum yearsvegan if healthvegan==1 // ethical vegan
	sum yearsvegan if healthvegan==2 // health vegan
	sum yearsvegan
	ttest yearsvegan, by(healthvegan)
	sum dietarydeviance if healthvegan==1 // ethical vegan
	sum dietarydeviance if healthvegan==2 // health vegan
	ttest dietarydeviance, by(healthvegan)
	sum groupaffiliation if healthvegan==1 // ethical vegan
	sum groupaffiliation if healthvegan==2 // health vegan
	ttest groupaffiliation, by(healthvegan)
	sum veganinteraction if healthvegan==1 // ethical vegan
	sum veganinteraction if healthvegan==2 // health vegan
	ttest veganinteraction, by(healthvegan)
	sum prominenceaverage if healthvegan==1 // ethical vegan
	sum prominenceaverage if healthvegan==2 // health vegan
	ttest prominenceaverage, by(healthvegan)
	sum sociallabelaverage if healthvegan==1 // ethical vegan
	sum sociallabelaverage if healthvegan==2 // health vegan
	ttest sociallabelaverage, by(healthvegan)
	tab white healthvegan, co chi
	tab man healthvegan, co chi
	tab socialmediasample healthvegan, co chi

*Table 4: Correlation Coefficients
	pwcorr groupaffiliation veganinteraction prominenceaverage sociallabelaverage ///
		dietarydeviance age white man income yearsvegan socialmediasample healthvegan, sig star (.05)

*Table 5: Measurement Model Results (Standardized) & Table 6: Structural Equation Groups Model Results (Standardized)
	sem (Prominence -> prominence1 prominence2 prominence3 prominence4) ///
		(SocialLabelProminence -> sociallabelprominence1 sociallabelprominence2 sociallabelprominence3) ///
		(Prominence -> dietarydeviance) (SocialLabelProminence -> dietarydeviance) ///
		(veganinteraction -> Prominence SocialLabelProminence dietarydeviance) ///
		(groupaffiliation -> veganinteraction Prominence SocialLabelProminence dietarydeviance) ///
		(age -> groupaffiliation veganinteraction Prominence SocialLabelProminence dietarydeviance) ///
		(white -> groupaffiliation veganinteraction Prominence SocialLabelProminence dietarydeviance) ///
		(man -> groupaffiliation veganinteraction Prominence SocialLabelProminence dietarydeviance) ///
		(income -> groupaffiliation veganinteraction Prominence SocialLabelProminence dietarydeviance) ///
		(yearsvegan -> groupaffiliation veganinteraction Prominence SocialLabelProminence dietarydeviance) ///
		(socialmediasample -> groupaffiliation veganinteraction Prominence SocialLabelProminence dietarydeviance), ///
		group(healthvegan) method(mlmv) ginvariant(mcoef) cov (e.prominence2*e.prominence4 ///
		e.prominence3*e.prominence4 e.Prominence*e.SocialLabelProminence e.sociallabelprominence1*e.sociallabelprominence3 ///
		e.sociallabelprominence2*e.sociallabelprominence3)
	estat gof, stats(all)
	sem, standardized
	estat ggof
	estat eqgof
	sem, coeflegend
	estat stdize: test _b[veganinteraction:1bn.healthvegan#c.groupaffiliation] ///
		= _b[veganinteraction:2.healthvegan#c.groupaffiliation]
	estat stdize: test _b[Prominence:1bn.healthvegan#c.groupaffiliation] = ///
		_b[Prominence:2.healthvegan#c.groupaffiliation]
	estat stdize: test _b[SocialLabelProminence:1bn.healthvegan#c.groupaffiliation] = ///
		_b[SocialLabelProminence:2.healthvegan#c.groupaffiliation]
	estat stdize: test _b[Prominence:1bn.healthvegan#c.veganinteraction] = ///
		_b[Prominence:2.healthvegan#c.veganinteraction]
	estat stdize: test _b[SocialLabelProminence:1bn.healthvegan#c.veganinteraction] = ///
		_b[SocialLabelProminence:2.healthvegan#c.veganinteraction]
